Kernel methods are a powerful set of machine learning algorithms that can be used to solve both classification and regression problems. Kernel methods work by transforming the input data into a higher-dimensional space, where it is easier to find linear relationships between the data points. This transformation is performed using a kernel function, which is a mathematical function tha... https://www.nomidl.com/natural-language-processing/a-comprehensive-guide-to-the-rbf-kernel-in-machine-learning/